Web29 dec. 2024 · Removing duplicate columns after join in PySpark. If we want to drop the duplicate column, then we have to specify the duplicate column in the join function. … Web29 dec. 2024 · A Computer Science portal for geeks. It contains well written, well thought and well explained computer science and programming articles, quizzes and practice/competitive programming/company interview Questions.

Removing duplicate columns after DataFrame join in PySpark

Web8 feb. 2024 · PySpark distinct() function is used to drop/remove the duplicate rows (all columns) from DataFrame and dropDuplicates() is used to drop rows based on … Web13 okt. 2024 · Deleting multiple columns. Usually, you may have to drop multiple columns in one go. If this is the case, then you can specify the columns you wish to drop as a list … flappy bird bg image

How do I remove duplicate columns from a PySpark DataFrame?

Web11 apr. 2024 · 1 I have one primary table with columns: (a, b, c, d, e) and have 100 tables with columns as, say, (a, b, c, d, e, x1), (a, b, c, d, e, x2), .... (a, b, c, d, e, x100) all the 101 tables have the same number of rows. and totally same (a, b, c, d, e), which means that they are identical but x columns. Web30 jan. 2024 · When we import the CSV file, we need to follow one extra step, i.e., removing a character added at the end of the repeated column names. Then, we find all the duplicate column names in the data frame and renamed all the duplicate column names differently, i.e., ‘price_duplicate_2‘, ‘price_duplicate_3‘ and ‘price_duplicate_4,’ … Web6 jun. 2024 · In this article, we are going to drop the duplicate rows based on a specific column from dataframe using pyspark in Python. Duplicate data means the same data based on some condition (column values). For this, we are using dropDuplicates() method: Syntax: dataframe.dropDuplicates([‘column 1′,’column 2′,’column n’]).show() can snakes slither up walls